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EUMAS 2020

Approximating Voting Rules from Truncated Ballots

Conference Paper EUMAS 2020 Best Papers Session Artificial Intelligence · Multi-Agent Systems

Abstract

Abstract Classical voting rules assume that ballots are complete preference orders over candidates. However, when the number of candidates is large enough, it is too costly to ask the voters to rank all candidates. We suggest to fix a rank k, to ask all voters to specify their best k candidates, and then to consider “top- k approximations” of rules, which take only into account the top - k candidates of each ballot. We consider two measures of the quality of the approximation: the probability of selecting the same winner as the original rule, and the score ratio. We do a worst-case study (for the latter measure only), and for both measures, an average-case study and a study from real data sets.

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Context

Venue
European Conference on Multi-Agent Systems
Archive span
2005-2025
Indexed papers
516
Paper id
971032028047204394